AFFINE INVARIANT DESCRIPTORS OF 3D OBJECT USING MULTIPLE REGRESSION MODEL
2011
In this work, a new method invariant [1,2,3] for 3D object is proposed using multiple regression model. This method consists of extracting an invariant vector using the multiple linear parameters model applied to the 3D object, it’s invariant against affine transformation of this object. The concerned 3D objects are transformations of 3D objects by one element of the overall transformation. The set of transformations considered in this work is the general affine group.
Keywords:
- Artificial intelligence
- Computer science
- Discrete mathematics
- Affine transformation
- 3D single-object recognition
- Machine learning
- Affine coordinate system
- Affine shape adaptation
- Affine combination
- Affine group
- Invariant (mathematics)
- Affine geometry of curves
- Data mining
- Algebra
- Affine hull
- Harris affine region detector
- Correction
- Source
- Cite
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